Intuit is seeking to drive its evolution as a global AI technology leader by solving complex, high-impact technical problems and unlocking new AI-driven experiences for its customers, including small businesses and individuals.
Requirements
- Deep technical expertise in GenAI and LLMs with in-depth understanding of areas like Reinforcement Learning, LLM fine tuning, multi-modal models.
- Demonstrated research experience in AI through publications at leading international journals and conferences.
- 10+ years of experience developing and deploying AI solutions that successfully solve challenging customer problems or enable radically new experiences.
- Experience translating business requirements into effective working prototypes coded up in languages like Python or using modeling frameworks like TensorFlow, Pytorch.
- Experience with Machine Learning systems on cloud platforms like AWS, GCP, or Azure is preferred.
- Strong Computer Science / Data Science fundamentals including data structures, algorithms, performance complexity, data analysis, model training, A/B testing, and MLOps practices.
Responsibilities
- Define and solve Grand Challenges – complex, high-impact technical problems that unlock entirely new AI-driven experiences for our customers.
- Define and contribute to a multi-year technical roadmap in partnership with Intuit’s AI leadership ensuring that Intuit stays on the leading edge of AI innovation through incubation and development of emerging new technologies and capabilities.
- Build end-to-end solutions that demonstrate how the state-of-the-art research in AI can drive transformative new experiences.
- Collaborate closely with business units and platform teams to accelerate testing and deployment of new technologies and capabilities thereby expanding Intuit’s portfolio and building durable advantage.
- Ensure excellence in data quality, model evaluation, and lifecycle management through rigorous monitoring, testing, and retraining practices.
- Champion responsible AI practices, ensuring models are fair, transparent, and trustworthy.
- Mentor and grow top scientific talent, championing a culture of innovation, ethics, and scientific rigor.
Other
- MS / Ph.D. in Computer Science, Statistics, or Applied Mathematics with focus on Artificial Intelligence / Machine Learning or equivalent experience
- Exceptional communication and collaboration skills with ability to clearly articulate complex technical concepts to both technical and non-technical audiences.
- Contribute to the scientific community by presenting Intuit’s AI innovations in publications, patents, and talks.
